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Data Quality Associate Jobs in Toronto, ON (NOW HIRING)

GEI Consultants

Data Engineer

Concord, ON

CA$90K - CA$150K/yr

This includes building ingestion pipelines, managing data stores, implementing quality and ... Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect ...

GEI Consultants

Data Engineer

Markham, ON

CA$90K - CA$150K/yr

This includes building ingestion pipelines, managing data stores, implementing quality and ... Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect ...

Walmart

Data Developer III

Mississauga, ON · On-site

CA$91K - CA$126K/yr

... quality checks, and developing data pipelines and models. The role may apply data integration ... Demonstrates and encourages respect for others; drives a positive associate and customer experience ...

Td

Supply Chain Associate

Toronto, ON · On-site

CA$59K - CA$84K/yr

Job Purpose The Supply Chain Associate is a permanent, full-time opportunity designed to build the ... Support procurement systems, reporting, data quality and operational processes. * Support with key ...

HollisWealth

Associate Structured Products

Toronto, ON · Hybrid

Associate, Structured Products _____ Build the future with us Are you driven by the financial ... data quality, and automation across the structured notes issuance process. * Product and Business ...

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Data Quality Associate information

What does a Data Quality Associate do?

A Data Quality Associate is responsible for ensuring the accuracy, completeness, and consistency of data within an organization. They monitor data flows, identify errors or inconsistencies, and work with other teams to resolve any issues. Their work helps maintain high data standards, which is essential for reliable reporting and decision-making. Data Quality Associates may also help develop data validation processes and contribute to improving data management practices.

What are the key skills and qualifications needed to thrive as a Data Quality Associate?

To thrive as a Data Quality Associate, you need strong analytical skills, attention to detail, and a background in data management or a related field, often supported by a bachelor's degree. Familiarity with data quality tools (such as Informatica Data Quality or Talend), SQL, and data governance frameworks is typically required. Excellent problem-solving, communication, and organizational skills help you collaborate effectively and resolve data discrepancies. These abilities ensure the accuracy, reliability, and integrity of organizational data, which is essential for informed decision-making and operational efficiency.

How does a Data Quality Associate typically collaborate with other teams to ensure data integrity?

As a Data Quality Associate, you will frequently work across departments such as data engineering, business analytics, and IT to address data discrepancies and implement quality standards. Collaboration often involves participating in regular meetings to discuss data issues, clarifying data definitions, and coordinating on data validation projects. This cross-functional teamwork is essential, as it ensures that data quality initiatives are aligned with organizational goals and that any issues are communicated and resolved efficiently.

What is the difference between Data Quality Associate vs Data Analyst?

AspectData Quality AssociateData Analyst
Primary FocusEnsuring data accuracy, completeness, and consistencyAnalyzing data to identify trends and support decision-making
Skills & CertificationsData management, quality control, basic SQL, ExcelData analysis, statistical skills, SQL, visualization tools
Work EnvironmentData management teams, quality assurance departmentsBusiness units, analytics teams, IT departments
Industry UsageCommon in healthcare, finance, and tech sectorsWidespread across industries for data-driven roles

The Data Quality Associate primarily focuses on maintaining the integrity and accuracy of data, ensuring it meets quality standards. In contrast, a Data Analyst interprets data to generate insights and support strategic decisions. While both roles require data skills, their core responsibilities differ, with the Data Quality Associate emphasizing data integrity and the Data Analyst emphasizing data interpretation.

What are the most commonly searched types of Data Quality jobs in Toronto, ON?

The most popular types of Data Quality jobs in Toronto, ON are:

What job categories do people searching Data Quality Associate jobs in Toronto, ON look for?

The top searched job categories for Data Quality Associate jobs in Toronto, ON are:

Data Quality Associate jobs near you
Infographic showing various Data Quality Associate job openings in Toronto, ON as of August 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Hybrid job distribution.

Data Engineer

GEI Consultants

Concord, ON

CA$90K - CA$150K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 12 days ago

GEI Consultants rating

7.6

Company rating: 7.6 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

285th of 449 rated engineering

Job description

Description

Your role at GEI. 
 
The Data Engineer is responsible for designing, building, and maintaining the data pipelines and integrations that power GEI’s AI solutions and digital initiatives. This role focuses on ensuring enterprise data is accessible, reliable, and governed so that AI capabilities can be deployed and scaled with confidence.
 
The Data Engineer plays a hands-on role by preparing and integrating the data foundations that AI solutions depend on. This includes building ingestion pipelines, managing data stores, implementing quality and governance controls, and supporting retrieval patterns such as RAG. This role works closely with AI Engineers, solution architects, and platform teams to ensure data infrastructure is production-ready, secure, and aligned with GEI standards.
 
Essential Responsibilities & Duties 
  • Design, build, and maintain data pipelines that ingest, transform, and deliver enterprise data to AI solutions and business applications.
  • Develop and manage integrations across enterprise data sources using APIs, Graph connectors, event-driven architectures, and batch/streaming patterns.
  • Build and maintain data stores and indexing infrastructure that support retrieval-augmented generation (RAG) and other AI consumption patterns.
  • Implement data quality, validation, and lineage controls to ensure accuracy and trustworthiness of data feeding AI workflows.
  • Support and optimize data models underpinning Power BI dashboards and AI-enabled analytics.
  • Collaborate with AI Engineers to define data contracts and ensure pipeline outputs meet solution requirements for schema, latency, and freshness.
  • Instrument data pipelines for monitoring, alerting, cost control, and performance optimization.
  • Implement data governance and security controls including access management, encryption, and compliance with organizational data policies.
  • Identify data-related risks and support mitigation strategies in collaboration with architecture and platform teams. 
Minimum Qualifications 
  • 4+ years of data engineering experience, with demonstrated ability to build and operate production data pipelines.
  • Proficiency in Python and SQL; experience with PySpark or Spark is strongly preferred.
  • Experience with Azure data services, including Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, and Azure SQL.
  • Familiarity with Azure AI Search, Cosmos DB, or similar services used to support AI retrieval and storage patterns.
  • Experience building and managing ETL/ELT pipelines with structured, semi-structured, and unstructured data sources.
  • Knowledge of data modeling, schema design, and indexing strategies for both analytical and AI workloads.
  • Familiarity with infrastructure-as-code and CI/CD practices for data pipeline deployment (e.g., Terraform, Azure DevOps).
  • Knowledge of data governance principles, including data cataloging, lineage, access control, and privacy requirements.
  • Knowledge of security best practices for data solutions, including encryption at rest and in transit, role-based access control, and private networking.
  • Experience with Databricks, including Delta Lake and Unity Catalog, is a plus.
  • Prior experience in professional services, engineering, or construction environments is a plus.
  • Azure or Databricks certifications (e.g., Azure Data Engineer Associate, Azure Solutions Architect Expert, Databricks Data Engineer Professional) are a plus. 
We are GEI. 
 
Some of the world’s most pressing problems – from climate change to sustainable development, to critical infrastructure and the future of our energy supply – need our brightest and diverse minds working together to create safer, more resilient communities for tomorrow.  
 
We are technical experts, collaborators, and entrepreneurs who draw from diverse backgrounds to solve our clients’ most complex challenges.  
 
With several offices across North America, we offer a range of engineering, science, and technical consulting services. Our range of expertise, project types, and culture make us the choice for top talent in the AEC industry. See all our office locations here.
 
Employee-owned. Employee-focused.  
 
As an employee-owned company, our employees support our flat leadership structure, have a say in how our business operates and benefit from our financial success. We are committed to employee growth with career development opportunities, competitive total rewards, a well-being program, flexible work arrangements and more.  Our company culture is driven by our 4 Cs – we are Client-Centered, Curious, Collaborative, and Community Minded – which support our focus on sustainability, safety, diversity, equity and inclusion. Get to know us better by visiting GEI’s career site here.
 
GEI’s Total Rewards Package Includes 
  • Market-Competitive Compensation, including Eligibility for an Annual Performance Bonus
  • Pay Range For This Position: $90,000.00 – $150,000.00/year
  • Comprehensive Benefits Program, including Medical, Dental, Vision, Life, Disability and More
  • Well-Being Program and Paid Parental Leave
  • Commuter Benefits
  • Hybrid Work Schedules and Cell Phone Stipends
  • GEI University (GEIU) with Continuing Education Assistance and Tuition Reimbursement
  • Connecting Conversation Program with a Focus on Professional Development and Opportunities for Advancement
  • Support and Financial Rewards for Publication Awards, Professional Dues, and Professional Licenses
  • Paid Holidays and Generous Paid Time Off Program
  • Rewards and Recognition
  • GEI-Funded Profit Sharing and 401(k)
  • Opportunity to be an Owner and Shareholder (Learn more here)
  • A Vibrant Culture that is Focused on Partnership, Sustainability, Giving Back to Our Communities and Diversity, Equity and Inclusion
  • And More…
PHYSICAL REQUIREMENTS 
WORK ENVIRONMENT 
  
  
  
Functional Demands:    
 
 
 
 
Sedentary
x 
Light
 
Medium
Other
 
 
Activity Level Throughout Workday (check one per row) 
Physical Activity Requirements
Occasional
(0-35% of day)
Frequent
(33-66% of day)
Continuous
(67-100% of day)
Not Applicable
Sitting
 
 
x 
 
Standing
 
x 
 
 
Walking
x 
 
 
 
Climbing
 
 
 
x 
Lifting (floor to waist level) (in pounds)
x 
 
 
 
Lifting (waist level and above) (in pounds)
x 
 
 
 
Carrying objects
x 
 
 
 
Push/pull
x 
 
 
 
Twisting
x 
 
 
 
Bending
x 
 
 
 
Reaching forward
x 
 
 
 
Reaching overhead
x 
 
 
 
Squat/kneel/crawl
x 
 
 
 
Wrist position deviation
 
x 
 
 
Pinching/fine motor skills
x 
 
 
 
Keyboard use/repetitive motion
 
 
x 
 
Taste or smell (taste=never)
 
 
 
x 
Talk or hear
 
 
x 
 
Accurate 20/40 
Very Accurate 20/20 
Not Applicable
Near Vision
 
x 
Far Vision
 
x 

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